Journal article
Inverse probability weighting
- Abstract:
- Statistical analysis usually treats all observations as equally important. In some circumstances, however, it is appropriate to vary the weight given to different observations. Well-known examples are in meta-analysis, where the inverse-variance (precision) weight given to each contributing study varies, and in the analysis of clustered data.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Access Document
- Files:
-
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(Preview, Accepted manuscript, pdf, 106.0KB, Terms of use)
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- Publisher copy:
- 10.1136/bmj.i189
Authors
- Publisher:
- BMJ Publishing Group
- Journal:
- BMJ More from this journal
- Volume:
- 352
- Pages:
- i189
- Publication date:
- 2016-01-15
- Acceptance date:
- 2016-01-05
- DOI:
- EISSN:
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1756-1833
- ISSN:
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0959-8138
- Language:
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English
- Pubs id:
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pubs:598209
- UUID:
-
uuid:d32dd627-9db4-42a1-9e26-edbec74ad81f
- Local pid:
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pubs:598209
- Source identifiers:
-
598209
- Deposit date:
-
2016-03-14
- ARK identifier:
Terms of use
- Copyright holder:
- Mansournia and Altman
- Copyright date:
- 2016
- Notes:
- © Authors 2016. Reuse of this manuscript version (excluding any databases, tables, diagrams, photographs and other images or illustrative material included where a another copyright owner is identified) is permitted strictly pursuant to the terms of the Creative Commons Attribution-Non Commercial 4.0 International (CC-BY-NC 4.0)
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